class_docstr: Module for UpsampleNearest2d conversion testing
      
code: def __init__(self, inp=10, out=16, kernel_size=3, bias=True):
      super(TestUpsampleNearest2d, self).__init__()
      self.conv2d = nn.Conv2d(
          inp, out, kernel_size=kernel_size, bias=bias
      )
      self.up = nn.UpsamplingNearest2d(scale_factor=2)
  
file_path: pytorch2keras/tests/layers/upsample_nearest.py
imports: import numpy
  import torch
  import torch.nn
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new TestUpsampleNearest2d object from inherited base classes: nn with example: obj = TestUpsampleNearest2d(inp, out, kernel_size, bias)